ISSN : 1013-0799
This study analyzes the utilization of generative AI in the context of Library and Information Science education through the framework of Activity Theory. Focusing on a 10-week team project conducted by undergraduate students enrolled in a “Program Design and Evaluation” course at a university in Seoul, South Korea, the research qualitatively examines the impact of generative AI on the learning process, student responses, and contradictions within the activity system. The analysis reveals that generative AI served as a tool to reduce cognitive load and enhance learning efficiency across multiple domains, including idea generation, drafting and structuring a program proposal, summarizing information, development of interview questions, etc. However, it also triggered various levels of contradictions, such as limitations in reliability, contextual inappropriateness, and tensions with traditional learning practices. These contradictions acted as catalysts for expansive learning, leading to the emergence of new collaborative structures and learning strategies. This study provides insights into both the pedagogical potential and educational challenges of integrating generative AI into LIS education and offers guidance for the future direction of AI literacy instruction and curriculum design.
